9. In order to investigate a rumor that there is a greater than expected number of girls among the children of chemists, Science magazine conducted an informal survey of eight chemistry departments. A secretary in the chemistry department at Indiana University, Bloomington, thought there might be something to this rumor and made sure that every one of the 34 faculty members in her department who have children responded to the Science survey. Altogether these Indiana chemists have 53 (56%) girls and 41 (44%) boys. Is this evidence that chemists produce more girl babies than expected? What kind of data would you prefer before drawing this type of conclusion? Explain how your idea would make the evidence produced more convincing.

MATLAB: An Introduction with Applications
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9. In order to investigate a rumor that there is a greater than expected number of girls among the
children of chemists, Science magazine conducted an informal survey of eight chemistry
departments. A secretary in the chemistry department at Indiana University, Bloomington,
thought there might be something to this rumor and made sure that every one of the 34 faculty
members in her department who have children responded to the Science survey. Altogether
these Indiana chemists have 53 (56%) girls and 41 (44%) boys. Is this evidence that chemists
produce more girl babies than expected? What kind of data would you prefer before drawing
this type of conclusion? Explain how your idea would make the evidence produced more
convincing.
Transcribed Image Text:9. In order to investigate a rumor that there is a greater than expected number of girls among the children of chemists, Science magazine conducted an informal survey of eight chemistry departments. A secretary in the chemistry department at Indiana University, Bloomington, thought there might be something to this rumor and made sure that every one of the 34 faculty members in her department who have children responded to the Science survey. Altogether these Indiana chemists have 53 (56%) girls and 41 (44%) boys. Is this evidence that chemists produce more girl babies than expected? What kind of data would you prefer before drawing this type of conclusion? Explain how your idea would make the evidence produced more convincing.
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